Optimization method for operating condition identification strategy of hydrogen fuel cell electric vehicles climbing long slopes

Abstract

The present invention relates to the technical field of hydrogen fuel cell electric vehicles, and discloses an optimization method for the working condition recognition strategy of a hydrogen fuel electric vehicle climbing a long slope, including a hydrogen fuel cell system. The hydrogen fuel cell system is connected to a motor controller through a DCDC converter. The motor controller is connected to a power battery and a drive motor. The drive motor is connected to drive wheels. The power battery is connected to a battery management system. The hydrogen fuel cell system is connected to a hydrogen fuel cell controller. The hydrogen fuel cell system, the hydrogen fuel cell controller and the battery management system are all connected to a vehicle controller. The vehicle controller processes the slope signal, recognizes the working condition, and performs energy distribution adjustment control according to a predetermined energy control strategy. The optimization method for the working condition recognition strategy of the hydrogen fuel electric vehicle climbing a long slope in the present invention can timely and effectively recognize the climbing working condition. This method can not only ensure a good driving experience, but also relatively take into account the characteristics of the hydrogen fuel cell system, and ensure the good life and performance of the hydrogen fuel system.

Description

Technical Field

[0001] The present invention relates to the technical field of hydrogen fuel cell electric vehicles, and particularly to an optimization method for the condition recognition strategy of a hydrogen fuel electric vehicle climbing a long slope. Background Art

[0002] As an important part of the development of new energy vehicles, fuel cell vehicles are becoming more and more market-oriented and commercialized. Hydrogen energy, as one of the renewable energy conversion centers, will become an important direction for the electrification of transportation. Compared with traditional hybrid electric vehicles, hydrogen fuel cell vehicles have the advantages of being clean, having a long endurance, a short hydrogen refueling time, few safety hazards, and a high energy conversion rate. However, due to the heat and mass transfer process of the hydrogen fuel cell limiting the dynamic response ability of the battery, people have to face problems such as too long reaction time of the hydrogen fuel cell, relatively poor environmental adaptability, and obvious life attenuation during frequent start-stop and variable load cycles. In the actual application process, using an auxiliary power battery or a supercapacitor is a necessary method to improve the performance of hydrogen energy vehicles. To a certain extent, the auxiliary battery and the supercapacitor improve the power performance of the hydrogen fuel vehicle and extend the life of the battery, but the resulting high cost forces people to consider how to optimize the energy distribution strategy between the auxiliary energy source and the hydrogen fuel cell in order to play the role of the auxiliary energy source in peak shaving and valley filling, reduce the start-stop, variable load, idle, and overload processes of the fuel cell, and maintain it in the high-efficiency region for output.

[0003] A hydrogen fuel cell is a high-efficiency power generation device that directly converts the chemical energy of a fuel into electrical energy through an electrochemical reaction without burning the fuel. When formulating the energy management strategy for a hybrid hydrogen fuel cell power system, on the one hand, the hydrogen fuel system should be made to work in the high-efficiency working area as much as possible, and on the other hand, the energy management strategy will also affect the start-stop frequency, variable load frequency and rate of the fuel cell, thereby affecting the life and performance of the system.

[0004] In the current solution, the hydrogen fuel cell system is in a power output state throughout the process, and the output power is determined by the SOC of the power battery. When the vehicle demand power is greater than the output power of the hydrogen fuel cell, the power battery provides the additional required power; otherwise, the power battery stores the excess energy of the hydrogen fuel cell. On the other hand, considering the life of the hydrogen fuel cell, the hydrogen fuel cell system is preferably able to output energy stably and continuously. Since the output power of the hydrogen fuel cell is determined by the SOC state of the power battery, vehicle conditions such as rapid acceleration, deceleration, braking, and climbing are likely to cause the SOC to change reciprocally, thereby causing the fuel cell to frequently change loads. To avoid such variable load situations, generally when formulating the strategy, a corresponding dead zone will be set so that there will be no frequent variable load fluctuations at the critical point of the power battery SOC.

[0005] However, the prior art has the following two disadvantages:

[0006] 1. The existing technology only determines the start-stop and operating power of the fuel cell based on the battery SOC. However, most commercial vehicles have complex operating conditions and are mostly applied to harsh environments with heavy loads. At the same time, the application scenarios and customer ranges are relatively dispersed, lacking consideration for the operating conditions. In some extreme operating conditions, the required power of the vehicle is large, and the hydrogen fuel cell system, as an auxiliary energy source, fails to play a reasonable and effective role in peak shaving and valley filling, resulting in a continuous decrease in the battery SOC.

[0007] 2. The state of charge of the battery directly affects the power performance and economy of the vehicle. Due to differences in driving experience and subjective awareness, in this special operating condition, the continuous decrease in the battery power during actual operation may result in poor acceleration performance of the vehicle, affecting the user experience. Summary of the Invention

[0008] The purpose of the present invention is to address the deficiencies of the above technologies and provide an optimized method for identifying the operating conditions of a hydrogen fuel electric vehicle when climbing a long slope, which can effectively identify the climbing operating conditions in a timely manner. This method can not only ensure a good driving experience but also relatively take into account the characteristics of the hydrogen fuel cell system to ensure good life and performance of the hydrogen fuel system.

[0009] To achieve the above purpose, the optimized method for identifying the operating conditions of a hydrogen fuel electric vehicle when climbing a long slope designed by the present invention includes a hydrogen fuel cell system. The hydrogen fuel cell system is connected to a motor controller through a DCDC converter. The motor controller is connected to a power battery and a drive motor. The drive motor is connected to a drive wheel. The power battery is connected to a battery management system. The hydrogen fuel cell system is connected to a hydrogen fuel cell controller. The hydrogen fuel cell system, the hydrogen fuel cell controller, and the battery management system are all connected to a vehicle controller. The vehicle controller processes the slope signal, identifies the operating conditions, and performs energy distribution adjustment control according to a predetermined energy control strategy.

[0010] Preferably, the vehicle controller smooths the slope signal through a sliding window filter to obtain a filtered slope, and then calculates the average value of the filtered slopes within a recent preset time. If the average slope value is greater than or equal to the first threshold, it is determined that the vehicle has entered the long-slope climbing operating condition. The vehicle controller controls the hydrogen fuel cell system to increase the output power according to a predetermined energy control strategy to prevent the continuous decrease of the battery SOC.

[0011] Preferably, the calculation formula for the average slope value is:

[0012] g(i) = (g(i - 1) × C(i - 1) + g k (i)) / C(i)

[0013] Wherein, g(i) is the average slope value at the current sampling time i, g(i - 1) is the average slope value calculated at the previous sampling time, C(i - 1) is the cumulative number of samplings at the previous sampling time, C(i) is the cumulative number of samplings at the current sampling time, and g k (i) is the slope value at the current sampling time i.

[0014] Preferably, after entering the long uphill driving condition, after a preset delay time, the average slope value is obtained by averaging the filtered slopes within a recent preset time again, and the condition judgment is performed.

[0015] Preferably, if the average slope value is less than the first threshold and greater than the second threshold, and the second threshold is less than the first threshold, the previous working condition is maintained.

[0016] Preferably, after a preset delay time, the average slope value is obtained by averaging the filtered slopes within a recent preset time again, and the condition judgment is performed.

[0017] Preferably, if the average slope value is less than or equal to the second threshold, it is determined that the vehicle enters the non-long uphill driving condition, and the vehicle controller controls the hydrogen fuel cell system to reduce the output power according to a predetermined energy control strategy.

[0018] Preferably, after a preset delay time, the average slope value is obtained by averaging the filtered slopes within a recent preset time again, and the condition judgment is performed.

[0019] Preferably, if the vehicle controller obtains that the state of charge (SOC) of the power battery does not continuously decrease, the average slope value is not compared, and it is determined that the vehicle enters the non-long uphill driving condition.

[0020] Preferably, after entering the long uphill driving condition, the vehicle controller controls the hydrogen fuel cell controller to increase the target power generation of the hydrogen fuel cell system and perform power correction. The power P that the hydrogen fuel cell system needs to provide fc = P req + P b_SOC where P req is the power required by the vehicle calculated according to the demand, and P b_soc is a correction power obtained according to the current state of charge of the power battery. When the SOC of the power battery is low, a larger value is taken to ensure power, and it is ensured that finally P fc does not exceed the maximum output capacity of the hydrogen fuel cell system; on the contrary, a smaller value is taken until it is 0. At this time, the energy provided by the hydrogen fuel cell system, except for accessories, is all used for the vehicle to climb the long uphill to maintain the vehicle operation.

[0021] Compared with the prior art, the present invention has the following advantages:

[0022] 1. Through the identification of operating conditions, ensure that the hydrogen fuel cell plays its role in peak shaving and valley filling as an auxiliary energy source, reduce the start-stop, variable load, idling, and overload processes of the fuel cell to a certain extent, and maintain it in the high-efficiency region for output.

[0023] 2. It can identify the long uphill climbing condition. Through the optimization of strategies, the power retention performance of the power battery for this condition is processed to keep the battery power at a reasonable level.

[0024] 3. While ensuring good vehicle power performance and driving experience, through the real-time identification of operating conditions for strategy optimization, under the same battery power, the vehicle's cruising range can be extended by about 3% - 5%, increasing the product competitiveness.

[0025] 4. Without modifying the vehicle structure, it has strong implementability. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is the schematic diagram of the equipment in the method for optimizing the operating condition identification strategy of the hydrogen fuel electric vehicle climbing a long uphill in the present invention;

[0027] Figure 2 It is the control flowchart of the method for optimizing the operating condition identification strategy of the hydrogen fuel electric vehicle climbing a long uphill in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0029] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. In addition, the terms "first", "second", "third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0030] In the description of the present invention, it should be noted that unless otherwise clearly specified and defined, the terms "installation", "connection", and "linkage" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0031] Embodiment 1

[0032] As Figure 1 shown, an optimization method for the working condition recognition strategy of a hydrogen fuel electric vehicle climbing a long slope includes a hydrogen fuel cell 1. The hydrogen fuel cell 1 is connected to a motor controller 3 through a DCDC converter 2. The motor controller 3 is connected to a power battery 4 and a drive motor 5. The drive motor 5 is connected to a drive wheel 6. The power battery 4 is connected to a battery management system 7. The hydrogen fuel cell 1 is connected to a hydrogen fuel cell controller 8. The hydrogen fuel cell 1, the hydrogen fuel cell controller 8, and the battery management system 7 are all connected to a vehicle controller 9. The vehicle controller 9 processes the slope signal, recognizes the working condition, and performs energy distribution adjustment control according to a predetermined energy control strategy.

[0033] Embodiment 2

[0034] As Figure 1 shown, an optimization method for the working condition recognition strategy of a hydrogen fuel electric vehicle climbing a long slope includes a hydrogen fuel cell 1. The hydrogen fuel cell 1 is connected to a motor controller 3 through a DCDC converter 2. The motor controller 3 is connected to a power battery 4 and a drive motor 5. The drive motor 5 is connected to a drive wheel 6. The power battery 4 is connected to a battery management system 7. The hydrogen fuel cell 1 is connected to a hydrogen fuel cell controller 8. The hydrogen fuel cell 1, the hydrogen fuel cell controller 8, and the battery management system 7 are all connected to a vehicle controller 9. The vehicle controller 9 processes the slope signal, recognizes the working condition, and performs energy distribution adjustment control according to a predetermined energy control strategy.

[0035] The vehicle controller 9 smooths the slope signal through a sliding window filtering process to obtain a filtered slope, and then calculates the average value of the filtered slopes within a recent preset time. In this embodiment, the preset time is 30 s. If the average slope value is greater than or equal to the first threshold, it is determined that the vehicle enters the long slope climbing working condition. The vehicle controller 9 controls the hydrogen fuel cell 1 to increase the output power according to a predetermined energy control strategy to prevent the continuous decrease of the SOC of the power battery 4. In this embodiment, the first threshold is 8%.

[0036] Embodiment 3

[0037] As Figure 1As shown in the figure, an optimization method for the working condition recognition strategy of a hydrogen fuel electric vehicle climbing a long slope includes a hydrogen fuel cell 1. The hydrogen fuel cell 1 is connected to a motor controller 3 through a DCDC converter 2. The motor controller 3 is connected to a power battery 4 and a drive motor 5. The drive motor 5 is connected to drive wheels 6. The power battery 4 is connected to a battery management system 7. The hydrogen fuel cell 1 is connected to a hydrogen fuel cell controller 8. The hydrogen fuel cell 1, the hydrogen fuel cell controller 8, and the battery management system 7 are all connected to a vehicle controller 9. The vehicle controller 9 processes the slope signal, identifies the working condition, and performs energy distribution adjustment control according to a predetermined energy control strategy.

[0038] The vehicle controller 9 smooths the slope signal through sliding window filtering to obtain a filtered slope, and then calculates the average value of the filtered slopes within the most recent preset time to obtain an average slope value. In this embodiment, the preset time is 30 s. If the average slope value is greater than or equal to the first threshold, it is determined that the vehicle has entered the long-slope climbing working condition. The vehicle controller 9 controls the hydrogen fuel cell 1 to increase the output power according to the predetermined energy control strategy to prevent the continuous decrease of the SOC of the power battery 4. In this embodiment, the first threshold is 8%.

[0039] In this embodiment, the calculation formula for the average slope value is:

[0040] g(i)=(g(i - 1)×C(i - 1)+g k (i)) / C(i)

[0041] In the formula, g(i) is the average slope value at the current sampling time i, g(i - 1) is the average slope value calculated at the previous sampling time, C(i - 1) is the cumulative sampling times at the previous sampling time, C(i) is the cumulative sampling times at the current sampling time, and g k (i) is the slope value at the current sampling time i.

[0042] Embodiment 4

[0043] As Figure 1 shown in the figure, an optimization method for the working condition recognition strategy of a hydrogen fuel electric vehicle climbing a long slope includes a hydrogen fuel cell 1. The hydrogen fuel cell 1 is connected to a motor controller 3 through a DCDC converter 2. The motor controller 3 is connected to a power battery 4 and a drive motor 5. The drive motor 5 is connected to drive wheels 6. The power battery 4 is connected to a battery management system 7. The hydrogen fuel cell 1 is connected to a hydrogen fuel cell controller 8. The hydrogen fuel cell 1, the hydrogen fuel cell controller 8, and the battery management system 7 are all connected to a vehicle controller 9. The vehicle controller 9 processes the slope signal, identifies the working condition, and performs energy distribution adjustment control according to a predetermined energy control strategy.

[0044] The vehicle controller 9 smooths the slope signal through sliding window filtering to obtain the filtered slope, and then calculates the average value of the filtered slope within the most recent preset time to obtain the average slope value. In this embodiment, the preset time is 30 s. If the average slope value is greater than or equal to the first threshold, it is determined that the vehicle enters the long uphill driving condition. The vehicle controller 9 controls the hydrogen fuel cell 1 to increase the output power according to a predetermined energy control strategy to prevent the continuous decrease of the power battery 4 SOC. In this embodiment, the first threshold is 8%.

[0045] In this embodiment, the calculation formula for the average slope value is:

[0046] g(i) = (g(i - 1) × C(i - 1) + g k (i)) / C(i)

[0047] In the formula, g(i) is the average slope value at the current sampling moment i, g(i - 1) is the average slope value calculated at the previous sampling moment, C(i - 1) is the cumulative sampling times at the previous sampling moment, C(i) is the cumulative sampling times at the current sampling moment, and g k (i) is the slope value at the current sampling moment i.

[0048] After entering the long uphill driving condition, after a preset delay time, the average value of the filtered slope within the most recent preset time is recalculated to obtain the average slope value for condition judgment.

[0049] The delay time is set to prevent misidentification of the vehicle. When setting the entry condition and exit condition, a certain dead zone interval needs to be set to improve the recognition accuracy. A certain dead zone value can be set in combination with the sampling frequency. When the sampling frequency is high, the value of the cumulative slope is updated quickly and the amplitude of the numerical change is large, so the dead zone value can be set larger. On the contrary, when the sampling frequency is low, the dead zone value can be set smaller. In this embodiment, the delay time is 120 s. By setting the delay time, on the one hand, the role of the hydrogen fuel cell 1 as an auxiliary power source is exerted. On the other hand, the start-stop frequency of the hydrogen fuel cell 1 also affects the life and performance of the hydrogen fuel cell 1. After the delay time of the hydrogen fuel cell 1 is extended, the number of shutdowns of the hydrogen fuel cell 1 decreases. During the period when it should have shut down originally, it can supplement electric energy for the power battery 4, increasing the charging power of the power battery 4 and slowing down the SOC decline rate. The delay time is used as a calibration quantity and can be calibrated and optimized according to specific conditions. Through reasonable calibration, the number of start-stop operations of the hydrogen fuel cell 1 can be significantly reduced.

[0050] Embodiment 5

[0051] Such as Figure 1As shown in the figure, an optimization method for the working condition recognition strategy of a hydrogen fuel electric vehicle climbing a long slope includes a hydrogen fuel cell 1. The hydrogen fuel cell 1 is connected to a motor controller 3 through a DCDC converter 2. The motor controller 3 is connected to a power battery 4 and a drive motor 5. The drive motor 5 is connected to a drive wheel 6. The power battery 4 is connected to a battery management system 7. The hydrogen fuel cell 1 is connected to a hydrogen fuel cell controller 8. The hydrogen fuel cell 1, the hydrogen fuel cell controller 8, and the battery management system 7 are all connected to a vehicle controller 9. The vehicle controller 9 processes the slope signal, recognizes the working condition, and performs energy distribution adjustment control according to a predetermined energy control strategy.

[0052] The vehicle controller 9 smooths the slope signal through a sliding window filter to obtain a filtered slope, and then averages the filtered slope within a recent preset time to obtain an average slope value. In this embodiment, the preset time is 30 s. If the average slope value is less than the first threshold and greater than the second threshold, and the second threshold is less than the first threshold, the previous working condition is maintained. In this embodiment, the first threshold is 8% and the second threshold is 5%.

[0053] In this embodiment, the calculation formula for the average slope value is:

[0054] g(i) = (g(i - 1) × C(i - 1) + g k (i)) / C(i)

[0055] In the formula, g(i) is the average slope value at the current sampling time i, g(i - 1) is the average slope value calculated at the previous sampling time, C(i - 1) is the cumulative sampling times at the previous sampling time, C(i) is the cumulative sampling times at the current sampling time, and g k (i) is the slope value at the current sampling time i.

[0056] After entering the long slope climbing working condition, after a preset delay time, the filtered slope within the recent preset time is averaged again to obtain an average slope value for working condition judgment.

[0057] Embodiment 6

[0058] As Figure 1 As shown in the figure, an optimization method for the working condition recognition strategy of a hydrogen fuel electric vehicle climbing a long slope includes a hydrogen fuel cell 1. The hydrogen fuel cell 1 is connected to a motor controller 3 through a DCDC converter 2. The motor controller 3 is connected to a power battery 4 and a drive motor 5. The drive motor 5 is connected to a drive wheel 6. The power battery 4 is connected to a battery management system 7. The hydrogen fuel cell 1 is connected to a hydrogen fuel cell controller 8. The hydrogen fuel cell 1, the hydrogen fuel cell controller 8, and the battery management system 7 are all connected to a vehicle controller 9. The vehicle controller 9 processes the slope signal, recognizes the working condition, and performs energy distribution adjustment control according to a predetermined energy control strategy.

[0059] The vehicle controller 9 smooths the slope signal through sliding window filtering to obtain the filtered slope, and then calculates the average value of the filtered slopes within the most recent preset time period to obtain the average slope value. In this embodiment, the preset time period is 30 s. If the average slope value is less than or equal to the second threshold value, it is determined that the vehicle has entered a non-long uphill climbing working condition, and the vehicle controller 9 controls the hydrogen fuel cell 1 to reduce its output power according to a predetermined energy control strategy. In this embodiment, the second threshold value is 5%.

[0060] In this embodiment, the calculation formula for the average slope value is as follows:

[0061] g(i) = (g(i - 1) × C(i - 1) + g k (i)) / C(i)

[0062] In the formula, g(i) is the average slope value at the current sampling time i, g(i - 1) is the average slope value calculated at the previous sampling time, C(i - 1) is the cumulative number of samplings at the previous sampling time, C(i) is the cumulative number of samplings at the current sampling time, and g k (i) is the slope value at the current sampling time i.

[0063] After entering the long uphill climbing working condition, after a preset delay time, the average value of the filtered slopes within the most recent preset time period is recalculated to obtain the average slope value, and the working condition is then judged.

[0064] Embodiment 7

[0065] As Figure 1 shown, an optimization method for the working condition recognition strategy of a hydrogen fuel electric vehicle during long uphill climbing includes a hydrogen fuel cell 1. The hydrogen fuel cell 1 is connected to a motor controller 3 through a DCDC converter 2. The motor controller 3 is connected to a power battery 4 and a drive motor 5. The drive motor 5 is connected to drive wheels 6. The power battery 4 is connected to a battery management system 7. The hydrogen fuel cell 1 is connected to a hydrogen fuel cell controller 8. The hydrogen fuel cell 1, the hydrogen fuel cell controller 8, and the battery management system 7 are all connected to a vehicle controller 9. The vehicle controller 9 processes the slope signal, identifies the working condition, and performs energy distribution adjustment control according to a predetermined energy control strategy.

[0066] The vehicle controller 9 smooths the slope signal through sliding window filtering to obtain the filtered slope, and then calculates the average value of the filtered slopes within the most recent preset time period to obtain the average slope value. In this embodiment, the preset time period is 30 s. If the vehicle controller 9 obtains that the SOC of the power battery 4 does not continuously decrease, the average slope value is not compared, and it is determined that the vehicle has entered a non-long uphill climbing working condition.

[0067] In this embodiment, the calculation formula for the average slope value is as follows:

[0068] g(i) = (g(i - 1) × C(i - 1) + g k(i)) / C(i)

[0069] where g(i) is the average slope value at the current sampling time i, g(i - 1) is the average slope value calculated at the previous sampling time, C(i - 1) is the cumulative number of samplings at the previous sampling time, C(i) is the cumulative number of samplings at the current sampling time, and g k (i) is the slope value at the current sampling time i.

[0070] After entering the long uphill condition, after a preset delay time, the average slope value is obtained by averaging the filtered slopes within the most recent preset time again, and the condition is judged.

[0071] Embodiment 8

[0072] As Figure 1 shown, an optimization method for the condition recognition strategy of a hydrogen fuel electric vehicle climbing a long uphill includes a hydrogen fuel cell 1. The hydrogen fuel cell 1 is connected to a motor controller 3 through a DCDC converter 2. The motor controller 3 is connected to a power battery 4 and a drive motor 5. The drive motor 5 is connected to drive wheels 6. The power battery 4 is connected to a battery management system 7. The hydrogen fuel cell 1 is connected to a hydrogen fuel cell controller 8. The hydrogen fuel cell 1, the hydrogen fuel cell controller 8, and the battery management system 7 are all connected to a vehicle controller 9. The vehicle controller 9 processes the slope signal, recognizes the condition, and performs energy distribution adjustment control according to a predetermined energy control strategy.

[0073] As Figure 2 shown, the vehicle controller 9 smooths the slope signal through a sliding window filtering process to obtain a filtered slope, and then averages the filtered slopes within the most recent preset time to obtain an average slope value. If the average slope value is greater than or equal to the first threshold, it is determined that the vehicle has entered the long uphill condition. The vehicle controller 9 controls the hydrogen fuel cell 1 to increase the output power according to the predetermined energy control strategy to prevent the continuous decrease of the SOC of the power battery 4.

[0074] If the average slope value is less than the first threshold and greater than the second threshold, and the second threshold is less than the first threshold, the previous condition is maintained.

[0075] If the average slope value is less than or equal to the second threshold, it is determined that the vehicle has entered a non-long uphill condition. The vehicle controller 9 controls the hydrogen fuel cell 1 to reduce the output power according to the predetermined energy control strategy.

[0076] In addition, if the vehicle controller 9 obtains that the SOC of the power battery 4 does not continuously decrease, the average slope value is not compared, and it is determined that the vehicle has entered a non-long uphill condition.

[0077] After each judgment, after a preset delay time, the average slope value is obtained by averaging the filtered slopes within the most recent preset time again, and the condition is judged.

[0078] In the above embodiment, after entering the long uphill driving condition, the vehicle controller 9 controls the hydrogen fuel cell controller 1 to increase the target power generation of the hydrogen fuel cell 1 and perform power correction. The power P fc = P req + P b_SOC , where P req is the power required by the vehicle calculated according to the demand, and P b_soc is a correction power obtained according to the current power of the power battery 4. When the SOC of the power battery 4 is low, a larger value is taken to ensure power, and it is ensured that finally P fc does not exceed the maximum output capacity of the hydrogen fuel cell 1; conversely, a smaller value is taken until it is 0. At this time, the energy provided by the hydrogen fuel cell 1, except for accessories, is all used for the vehicle to climb the long uphill to maintain the vehicle operation.

[0079] The method for optimizing the condition recognition strategy of the hydrogen fuel electric vehicle climbing a long uphill ensures that the hydrogen fuel cell 1, as an auxiliary energy source, plays the role of peak shaving and valley filling through condition recognition, reduces the start-stop, variable load, idling, and overload processes of the hydrogen fuel cell 1 to a certain extent and maintains it in the high-efficiency region for output; it can identify the long uphill driving condition, and through the optimization of the strategy, the power retention performance of the power battery 4 for this condition is processed to keep the battery power at a reasonable level; while ensuring the good power performance and driving experience of the whole vehicle, through real-time condition recognition for strategy optimization, under the same battery power, the vehicle's cruising range can be extended by about 3% - 5%, increasing the product competitiveness. Without modifying the vehicle structure, it has strong implementability.

[0080] Here, it should be noted that the description of the above technical solution is exemplary. This specification can be embodied in different forms and should not be construed as limited to the technical solutions described herein. On the contrary, providing these descriptions will make the disclosure of the present invention thorough and complete, and will fully convey the scope disclosed in this specification to those skilled in the art. In addition, the technical solutions of the present invention are only limited by the scope of the claims.

[0081] The examples used to describe various aspects of this specification and the claims are only examples, and therefore, this specification and the claims are not limited to the details shown. In the above description, when the detailed description of relevant known functions or configurations is determined to unnecessarily obscure the key points of this specification and the claims, the detailed description will be omitted.

[0082] When using "including", "having", and "containing" described in this specification, unless otherwise stated, it may also have another part or other parts, and the terms used can generally be singular but can also represent plural forms.

[0083] Finally, it should be noted that the above content is a further detailed description of the invention in combination with specific embodiments. It cannot be considered that the specific implementation of the invention is only limited to these descriptions. For those of ordinary skill in the art to which the present invention pertains, any simple substitution made without departing from the concept of the present invention should be regarded as falling within the protection scope of the present invention. The above embodiments are only relatively representative examples of the present invention. Obviously, the present invention is not limited to the above embodiments and there can be many variations. Any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present invention should be regarded as falling within the protection scope of the present invention.

[0084] Meanwhile, it should be noted that the description of the above technical solutions is exemplary. This specification can be embodied in different forms and should not be construed as limited to the technical solutions set forth herein. On the contrary, providing these descriptions will make the disclosure of the present invention thorough and complete, and will fully convey the scope disclosed in this specification to those skilled in the art. In addition, the technical solutions of the present invention are only limited by the scope of the claims. The features of various embodiments of the present invention can be partially or fully combined or spliced with each other, and can be implemented in various different configurations as can be fully understood by those skilled in the art. The embodiments of the present invention can be implemented independently of each other, or can be implemented together in a mutually dependent relationship.

[0085] For those of ordinary skill in the art to which the present invention pertains, several simple deductions or substitutions can be made without departing from the concept of the present invention, and the above structures should all be regarded as falling within the protection scope of the present invention.

Claims

1. An optimization method for working condition recognition strategy of a hydrogen fuel electric vehicle climbing a long slope, characterized in that: It includes a hydrogen fuel cell system (1), and the hydrogen fuel cell system (1) is connected to a motor controller (3) through a DCDC converter (2). The motor controller (3) is connected to a power battery (4) and a drive motor (5). The drive motor (5) is connected to a drive wheel (6). The power battery (4) is connected to a battery management system (7). The hydrogen fuel cell system (1) is connected to a hydrogen fuel cell controller (8). The hydrogen fuel cell system (1), the hydrogen fuel cell controller (8), and the battery management system (7) are all connected to a vehicle controller (9). The vehicle controller (9) processes the slope signal, identifies the working condition, and performs energy distribution adjustment control according to a predetermined energy control strategy. The vehicle controller (9) smooths the slope signal through a sliding window filtering process to obtain a filtered slope, and then averages the filtered slope within a recent preset time to obtain an average slope value. If the average slope value is greater than or equal to the first threshold, it is determined that the vehicle enters the long uphill climbing working condition. The vehicle controller (9) controls the hydrogen fuel cell system (1) to increase the output power according to a predetermined energy control strategy to prevent the SOC of the power battery (4) from continuously decreasing. After entering the long uphill driving condition, the vehicle controller (9) controls the hydrogen fuel cell controller (8) to increase the target power generation of the hydrogen fuel cell system (1) and perform power correction. The power P required to be provided by the hydrogen fuel cell system (1) fc = P req + P b_soc , where P req is the power required by the vehicle calculated according to the demand, and P b_soc is a correction power obtained based on the current power of the power battery (4). When the SOC of the power battery (4) is low, a larger value is taken to ensure power. And it is ensured that finally P fc does not exceed the maximum output capacity of the hydrogen fuel cell system (1); on the contrary, a smaller value is taken until it is 0. At this time, the energy provided by the hydrogen fuel cell system (1) except for accessories is all used for the vehicle to climb the long uphill to maintain vehicle operation; The calculation formula for the average slope value is: g(i) = (g(i - 1) × C(i - 1) + g k (i)) / C(i) Wherein, g(i) is the average slope value at the current sampling time i, g(i - 1) is the average slope value calculated at the previous sampling time, C(i - 1) is the cumulative sampling times at the previous sampling time, C(i) is the cumulative sampling times at the current sampling time, and g k (i) is the slope value at the current sampling time i; After entering the long uphill climbing working condition, after a preset delay time, the filtered slope within a recent preset time is averaged again to obtain an average slope value for working condition judgment. If the average slope value is less than the first threshold and greater than the second threshold, and the second threshold is less than the first threshold, the previous working condition is maintained. After a preset delay time, the filtered slope within a recent preset time is averaged again to obtain an average slope value for working condition judgment. If the average slope value is less than or equal to the second threshold, it is determined that the vehicle enters the non-long uphill climbing working condition. The vehicle controller (9) controls the hydrogen fuel cell system (1) to reduce the output power according to a predetermined energy control strategy. After a preset delay time, the filtered slope within a recent preset time is averaged again to obtain an average slope value for working condition judgment. If the vehicle controller (9) obtains that the SOC of the power battery (4) does not continuously decrease, the average slope value is not compared, and it is determined that the vehicle enters the non-long uphill climbing working condition.

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